Lu, Wenjun; Aalberg, Arne; Høyland, Knut Vilhelm; Lubbad, Raed; Løset, Sveinung; Ingeman-Nielsen, Thomas (2018): Calibration data for Infratructure mapping in Svalbard, link to files [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.895950
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Abstract:
This dataset contains geographical features representing selected infrastructures (houses, roads, airfield, pipelines etc.) in the town Longyearbyen on Svalbard.
Each feature has attributes listing relevant classifiers, such as:
- the type of infrastructure (residential building, road, pipeline, etc.)
- the shape of the feature (flat, sloped, pitched, domed, barrel-shaped)
- the type of surface material (wood, concrete, asphalt, etc.)
- the background setting (rock, sediments, sea, etc.)
- its current status as actively used or inactive infrastructure.
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All feature locations and attributes have been validated either by on-site inspection, or by Google Street View imagery (validation method indicated in feature attributes).
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Photos are provided for most of the features that were field validated.
Related to:
Ingeman-Nielsen, Thomas; Lu, Wenjun; Vakulenko, Ivan; Wang, S; Aalberg, Arne; Bartsch, Annett; Høyland, Knut Vilhelm; Lubbad, Raed; Løset, Sveinung (2018): Calibration and validation data for circumpolar Arctic infrastructure mapping. DTU Civil Engineering, Technical Report (ISSN 1393-402X), SR 18-05, 25 pp, Nunataryuk_DeliverableReport_6-1.pdf
Further details:
Metadata file for Svalbard infrastructure mapping. Svalbard_Metadata.pdf
Project(s):
Funding:
Horizon 2020 (H2020), grant/award no. 773421: NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation
Coverage:
Latitude: 78.223000 * Longitude: 15.650000
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File name | File name | Lu, Wenjun | |||
| 2 | File format | File format | Lu, Wenjun | |||
| 3 | File size | File size | kByte | Lu, Wenjun | ||
| 4 | Uniform resource locator/link to file | URL file | Lu, Wenjun |
License:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC-BY-NC-SA-4.0)
Size:
8 data points